Eagle
Engineering
AppliedAIEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied AI Engineer at Eagle. Skills: Applied AI, LLMs, Agent Frameworks. Embed with staff. Build against observations”
What You'll Achieve.
Ship initial iterations; Power transformation; Close automation gap
Industry & Context.
Expose ignorance; Ask why; Sit with noisy feedback; Distill feedback
Willing to get on a plane
What They're Looking For.
Must Have
Experience or interest in LLMs, Experience or interest in Agent Frameworks, Experience or interest in RAG, Experience or interest in browser automation, Experience or interest in doc parsing
Nice to Have
Willing to get on a plane
What You'll Do.
Build against observations
Own problems end-to-end
Shape engineering culture
Define technical direction
Determine future builds
How You'll Work.
Team & Collaboration
Work with founders; Work with engineering staff; Collaborate with CTO
Communication Scope
Earn trust
Full Job Description
About Eagle We’re on a mission to radically transform the way we design and construct our built environment. Backed by Lightspeed Venture Partners, Eagle acquires and transforms civil, structural, and MEP engineering firms with applied AI. We’re an AI laboratory dedicated to providing engineers with the tools they need to solve the world’s hardest infrastructure, energy, and climate problems. By arming designers with frontier technology, our ambition is to build the most valuable, talent-dense engineering firm in the United States. The opportunity Our core thesis: 85% of what engineers do today is theoretically automatable, yet less than 5% has actually been touched by AI. That gap is the largest of any profession. Our plan is to close it by acquiring engineering firms, building purpose-built tools for their staff, and compounding that proprietary intelligence across acquisitions. As an Applied AI Engineer, you'll work directly with the founders and staff at engineering firms to ship the initial iterations of our operating system that will power this transformation. You'll own outcomes at the edge and get a front-row seat to building a company from zero—engaging with architecture decisions, firm acquisitions, and product strategy—on a problem domain that's barely been touched by AI. What you'll do - Embed with staff at engineering firms alongside the founders; then come back and build against what you saw - Own problems end-to-end from problem discovery to deployment to debugging in prod - Collaborate directly with the CTO on engineering culture, technical direction, and what we’ll build next What we look for - Has a deep curiosity for how things work (e.g., an organization, a workflow, a market) - Isn’t afraid to expose their ignorance and is constantly asking why - Has the poise and communication skills to earn trust with people who've never worked with a tech company before - Can sit with noisy, conflicting feedback from users and distill it into a clear opinion
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